Data Scientist (Germantown)

About Whisker Labs

We're on a mission to save lives and property, leading the next wave in smart home technology and fire prevention with Ting. This intelligent sensor and concierge service monitors a home's electrical network to detect electrical hazards that often lead to the most devastating and catastrophic fires. While on the job preventing fires inside a home, Ting also helps monitor the electrical grid, contributing to increased community fire safety and reduced environmental impact that comes with fire reduction. We're steadfastly addressing the long-underserved realm of electrical fire prevention with leading-edge technology and embarking on the next stage of our growth. Visit tingfire.com for more information.

Data Scientist

Duties : Responsible for advancing Whisker Lab's technology to detect early warning signs of electrical fires in homes, preventing one of the deadliest types of fires. The team's primary focus is on developing algorithms, automation, and internal web-based tools to detect electrical fire hazards and enable our fire safety team to mitigate them efficiently. Lead developer for data science backend infrastructure. Support for internal websites which convey data and data science outputs to our operations teams and facilitate the management of the fire hazard remediation process. Improve the efficiency of existing data science infrastructure (code and cloud usage). Participate in software design, production readiness, and code reviews.

Requirements : Master's Degree in Computer Science, Computer Engineering, or other engineering discipline combined with significant coursework or experience in software development with 2 years' post-baccalaureate experience in Python software development; training and running machine learning algorithms; building webpages and designing a functional UI / UX using Python web development frameworks; developing front ends (e.g., using HTML / CSS / JS and frameworks like Flask + Jinja).

Whisker Labs is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

The pay range for this role is :

110,000 - 146,000 USD per year (Germantown, MD Office)